Posted:1 month ago| Platform: Linkedin logo

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Job Description

The role As a Data Engineer on our team, you’ll play a key role in shaping the data infrastructure behind our cloud and edge solutions. You’ll work alongside a group of talented engineers and take ownership of designing, building, and maintaining robust data systems that support real-time insights, automation, and analytics. From ingesting edge device data to optimising cloud-based pipelines, your work will directly impact the performance, scalability, and reliability of our end-to-end IoT platform. This is a unique opportunity to contribute to the evolution of a technology stack that powers intelligent systems across industries. You’ll be part of a fast-moving team that values innovation, ownership, and engineering excellence—and you'll help define how data is collected, monitored, and acted on in critical environments. About the Role We're seeking a motivated Data Engineer to design, build, and maintain scalable data solutions. You'll work with cutting-edge AWS and IoT technologies to deliver high-impact, end-to-end data pipelines for both batch and real-time analytics, collaborating closely with cross-functional teams. Experience: 3+ years of experience. Data Engineering experience required. (MUST minimum 3 years) Responsibilities Build & Manage Data Pipelines: Develop secure and scalable data ingestion and transformation pipelines using AWS services (Glue, Lambda, Athena, Timestream, S3 ) and edge technologies (MQTT, AWS IoT Greengrass). Infrastructure as Code (IaC): Define, develop, and deploy cloud infrastructure using Terraform. SQL & Data Transformation: Write, optimize, and maintain complex SQL queries for data transformation and validation across AWS data services. Observability & Security: Implement and maintain observability tools (CloudWatch, Grafana) and ensure robust data security using best practices for IAM, encryption, and access control. Cross-Functional Collaboration: Partner with software, DevOps, and product teams to deliver comprehensive data solutions. Qualifications Education & Experience: Bachelor’s degree in Computer Science, Engineering, or a related technical field, coupled with 2+ years of hands-on software or data engineering experience in a multidisciplinary team. Development Lifecycle: Proven experience in prototyping, testing, and code review across full development cycles. Required Skills Strong proficiency in SQL. Skilled in scripting languages like Python or JavaScript. Experience with Linux environments, Docker, and Git. Solid understanding of cloud infrastructure and Terraform. Preferred Skills Experience with low-latency edge-to-cloud data pipelines. Familiarity with React/Node.js for internal tools or dashboards. Hands-on experience with a broader range of AWS services and IaC tools (e.g., Terragrunt, Atlantis). Exposure to additional monitoring tools (e.g., Prometheus) or end-to-end testing frameworks. Location: Ahmedabad, Pune Location Shift: US Overlapping ( Person need to work till 1:00 am IST) Show more Show less

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Tech Holding

Software Development

Los Angeles California

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